A High Performance Framework for Radar Clutter Suppression, Target Tracking and Identification

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$1,000,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
HQ0147-09-C-7011
Award Id:
86442
Agency Tracking Number:
B073-030-0079
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
13619 Valley Oak Circle, ROCKVILLE, MD, 20850
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
620282256
Principal Investigator:
Chiman Kwan
Chief Technology Officer
(240) 505-2641
chiman.kwan@signalpro.net
Business Contact:
Chihwa Yung
President
(301) 315-2322
chihwa.yung@signalpro.net
Research Institute:
n/a
Abstract
Detection, tracking, and identification of dim targets are challenging for the following reasons. First, MDA radars encounter strong clutter due to chaff and decoys. The manmade clutter can be non-Gaussian, non-stationary, and unpredictable. Second, the distance between radar and a target can be hundreds of miles, which make the radar returns very weak. Third, some target motions may be maneuvering, making the Doppler frequencies non-stationary and rendering the conventional techniques ineffective. Fourth, ballistic missiles may carry a number of decoys that confuse the radar detection. We propose a high performance system that can address all the challenges mentioned above. Our system is comprehensive and includes clutter suppression, target detection, target tracking, and target identification. State-of-the-art algorithms will be integrated into our system. In Phase I, we implemented the proposed framework and performed extensive simulations to validate its performance. Our simulations showed that we can detect dim maneuvering targets even when the raw data have a signal-to-clutter-ratio (SCR) of less than -70 dB, which is a significant result. In Phase II, we will develop a real-time system containing clutter suppression, target detection, target tracking, and target identification. Real-time demonstrations will be performed in a MDA base at the end of Phase II.

* information listed above is at the time of submission.

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